Structural miRNA-lncRNA Interaction Database: Integrating Structural Insights for Enhanced Predictive Modeling

This work introduces a comprehensive miRNA-lncRNA interaction database that uniquely integrates structural information for both miRNAs and lncRNAs. The database includes extensive characterization of sequences, secondary structures, and interactions, enhancing its utility for predictive modeling in bioinformatics and systems biology. By providing a validated and detailed resource, such as lncRNASNP2-Human, this database aims to support and improve future predictions of miRNA-lncRNA interactions, with potential applications in disease research, particularly in cancer, and other areas of biomedical science. The construction and structure of the database are presented, along with a detailed description of the types of data it contains, and potential applications or uses of this database are mentioned at the end.

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Publication Details

Published
2024-11-27
DOI
https://doi.org/10.1109/concapan63470.2024.10933592
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

Structural miRNA-lncRNA Interaction Database: Integrating Structural Insights for Enhanced Predictive Modeling

Rodrígo Mora, Juan Luis Crespo-Mariño, Cindy Calderón-Arce
Cancer-related molecular mechanisms research
article

Structural miRNA-lncRNA Interaction Database: Integrating Structural Insights for Enhanced Predictive Modeling

Rodrígo Mora, Juan Luis Crespo-Mariño, Cindy Calderón-Arce
article en

Abstract

This work introduces a comprehensive miRNA-lncRNA interaction database that uniquely integrates structural information for both miRNAs and lncRNAs. The database includes extensive characterization of sequences, secondary structures, and interactions, enhancing its utility for predictive modeling in bioinformatics and systems biology. By providing a validated and detailed resource, such as lncRNASNP2-Human, this database aims to support and improve future predictions of miRNA-lncRNA interactions, with potential applications in disease research, particularly in cancer, and other areas of biomedical science. The construction and structure of the database are presented, along with a detailed description of the types of data it contains, and potential applications or uses of this database are mentioned at the end.

Instituto Tecnológico de Costa Rica (CR), Universidad de Costa Rica (CR)
Openalex Percentile: Top 65%
Cancer-related molecular mechanisms research
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